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are not limited to, Developing new computational methods and analytical tools, with particular emphasis on machine learning and artificial intelligence approaches. Identifying signatures of viral adaptation
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of biocontrol treatments in corn. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and field research
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of animal fecal contamination. Learning Objectives: Under the guidance of a mentor, the participant will be involved in the following activities: Learn and apply hyperspectral fluorescence, reflectance, and
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this information can improve our ability to predict the spread and intensity of wildfires and prescribed fires. Learning Objectives: The program participant will learn a variety of new skills to measure
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of genes and proteins as regulators of physiological or immunological traits. Learning Objectives: Under the guidance of the mentor, the candidate will gain experience in and learn to utilize a functional
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of biocontrol treatments in corn. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and field research
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will focus on evaluating how alfalfa-grass interactions influence biological nitrogen fixation, soil health, and soil organic matter dynamics in mixed species forage production systems. Learning
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, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses infecting swine that may be deployed in online databases or interactive websites. Learning Objectives: During this project
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to improve soybean for enhanced disease tolerance by accelerating breeding programs and enabling the engineering of new and improved traits. Learning Objectives: As a result of this experience, the participant
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presentations at regional and national conferences will be supported. Learning Objectives: Under the guidance of a mentor, specific learning objectives include: Conducting independent research aimed at developing